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[null,null,"Autore",null,"Tan Joey Sing Yee"]
[null,null,"Titolo",null,"Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation [[electronic resource] /] / by Joey Sing Yee Tan, Amandeep S. Sidhu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-15585-4"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (IX, 88 p.)"]
[null,null,"Collana",null,"Data, Semantics and Cloud Computing, , 2524-6593 ; ; 832"]
[null,null,"Disciplina",null,"511.313"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Biomedical engineering"]
[{"$nulls":4},"Surgery"]
[{"$nulls":4},"Regenerative medicine"]
[{"$nulls":4},"Tissue engineering"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Biomedical Engineering and Bioengineering"]
[{"$nulls":4},"Regenerative Medicine/Tissue Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[{"$nulls":3},"Livello bibliografico","Monografia"]
[{"$nulls":3},"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"List of Figures -- List of Tables -- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Methodology -- Chapter 4. Fuzzy Inference System, etc."]
[{"$nulls":3},"Sommario/riassunto","This book provides a real-time and knowledge-based fuzzy logic model for soft tissue deformation. The demand for surgical simulation continues to grow, as there is a major bottleneck in surgical simulation designation and every patient is unique. Deformable models, the core of surgical simulation, play a crucial role in surgical simulation designation. Accordingly, this book (1) presents an improved mass spring model to simulate soft tissue deformation for surgery simulation; (2) ensures the accuracy of simulation by redesigning the underlying Mass Spring Model (MSM) for liver deformation, using three different fuzzy knowledge-based approaches to determine the parameters of the MSM; (3) demonstrates how data in Central Processing Unit (CPU) memory can be structured to allow coalescing according to a set of Graphical Processing Unit (GPU)-dependent alignment rules; and (4) implements heterogeneous parallel "]
[{"$nulls":4},"programming for the distribution of grid threats for Computer Unified Device Architecture (CUDA)-based GPU computing. ."]